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A new feature selection approach is proposed for facial expression recognition system. The features are extracted using Gabor filters from Grey-scale images for characterizing facial texture. Then, an adaptive filter selection (AFS) algorithm is applied to choose the best subset of Gabor filters with different scales and orientations. In AFS algorithm, the filters are selected based on spectral difference...
A novel feature extraction method for facial expression recognition from sequences of image frames is described and tested. The authors propose HLAC-like features (HLACLF) for feature extraction. The features are extracted using different masks from Grey-scale images for characterising facial texture. Then the most informative features are selected based on mutual information quotient (MIQ) criterion...
This study compares three different methods of feature selection for facial expression recognition from still images. The log-Gabor filter features were reduced to smaller sub-sets of representative features using three alternative approaches: selection of 4 optimal filters (log-Gabor/4-OF), principal component analysis (log-Gabor/PCA) and optimal feature selection based on the mutual information...
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